Login
Remember
Register
Ask a Question
Recent questions in Deep Learning
+1
vote
1
answer
What are the main differences between AI, Machine Learning, and Deep Learning?
asked
Jun 10, 2021
in
Deep Learning
by
Robindeniel
ai
machine-learning
deep-learning
0
votes
1
answer
Which of the following is not applicable to Data Mining?
asked
Feb 22, 2021
in
Deep Learning
by
AdilsonLima
data-mining
+2
votes
1
answer
____________ function is also known as Transfer Function.
asked
Jan 23, 2021
in
Deep Learning
by
SakshiSharma
#deep-learning
transfer-function
+2
votes
1
answer
______________ tool supports the use of GPU.
asked
Jan 23, 2021
in
Deep Learning
by
SakshiSharma
gpu
deep-learning
+2
votes
1
answer
In Deep Learning, ____________.
asked
Jan 23, 2021
in
Deep Learning
by
SakshiSharma
#deep-learning
+2
votes
1
answer
______________ activation function is the most commonly used activation function in Neural networks.
asked
Jan 23, 2021
in
Deep Learning
by
SakshiSharma
#neural-networks
deep-learning
+2
votes
1
answer
H2O.ai offers built-in integration tools for which platform?
asked
Jan 23, 2021
in
Deep Learning
by
SakshiSharma
#h2o
ai
deep-learning
+2
votes
1
answer
____________ is a technique which helps machines to mimic human behavior.
asked
Jan 23, 2021
in
Deep Learning
by
SakshiSharma
#deep-learning-technique
deep-learning
+2
votes
1
answer
Machine Learning is a subset of _____________.
asked
Jan 23, 2021
in
Deep Learning
by
SakshiSharma
#machine-learning
deep-leanring
+3
votes
1
answer
The following are tools offered by deepnet platforms, except __________.
asked
Jan 23, 2021
in
Deep Learning
by
SakshiSharma
deep-learning
deepnet-platform
+2
votes
1
answer
Which of the following is a type of Recurrent Neural Network?
asked
Jan 23, 2021
in
Deep Learning
by
SakshiSharma
recurrent-neural-network
deep-learning
+1
vote
1
answer
Autoencoders are trained without supervision.
asked
Jan 23, 2021
in
Deep Learning
by
SakshiSharma
#autoencoders
supervision
deep-learning
+3
votes
1
answer
Deep Learning can process an enormous amount of _______________.
asked
Jan 23, 2021
in
Deep Learning
by
SakshiSharma
#deep-learning
#enormous
+2
votes
1
answer
Radial Basis Function Neural Network uses _______________ function as the Activation Function.
asked
Jan 23, 2021
in
Deep Learning
by
SakshiSharma
#radial-function
neural-network
deep-learning
+2
votes
1
answer
Every neuron in the Input Layer represents a/an _______________ variable that influences the output.
asked
Jan 23, 2021
in
Deep Learning
by
SakshiSharma
#neuon
#layer-representation
deep-learning
+2
votes
1
answer
In ____________, information must flow from input to output only in one direction.
asked
Jan 23, 2021
in
Deep Learning
by
SakshiSharma
neural-network
deep-learning
0
votes
1
answer
The measure of Difference between two probability distributions is know as ________________________.
asked
Jul 18, 2020
in
Deep Learning
by
Hodge
#deeplearning
distributions
+1
vote
1
answer
What are the two layers of a Restricted Boltzmann Machine called?
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
boltzmann-machine
+1
vote
1
answer
Why is the Pooling Layer used in a Convolution Neural Network?
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
convolution-neural-network
+1
vote
1
answer
RELU stands for ______________________________.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
relu
+1
vote
1
answer
What is the best Neural Network Model for Temporal Data?
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
neural-network
+1
vote
1
answer
Restricted Boltzmann Machine expects the data to be labeled for Training.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
machine-data
+1
vote
1
answer
A Deep Belief Network is a stack of Restricted Boltzmann Machines.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
+1
vote
1
answer
Recurrent Network can input Sequence of Data Points and Produce a Sequence of Output.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
recurrent-network
+1
vote
1
answer
What is the method to overcome the Decay of Information through time in RNN known as?
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
decay-information
+1
vote
1
answer
All the neurons in a convolution layer have different Weights and Biases.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
0
votes
1
answer
All the Visible Layers in a Restricted Boltzmannn Machine are connected to each other.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
0
votes
1
answer
What does LSTM stand for?
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
lstm
+1
vote
1
answer
The rate at which cost changes with respect to weight or bias is called __________________.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
+1
vote
1
answer
Support Vector Machines, Naive Bayes and Logistic Regression are used for solving ___________________ problems.
asked
Jul 17, 2020
in
Deep Learning
by
RShastri
#deeplearning
naive-bayes
Page:
« prev
1
2
3
4
5
6
7
8
next »
Recent questions in Deep Learning
...
